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Toward autonomic security for industrial control systems

Author: Madhulika Trivedi; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
Publisher: Mississippi State : Mississippi State University, 2015.
Dissertation: Thesis (M.S.) Mississippi State University. Department of Electrical and Computer Engineering 2015.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : English
Summary:
Supervisory control and data acquisition systems are extensively used in the critical infrastructure domain for controlling and managing large-scale industrial applications. This thesis presents a security management structure developed to protect ICS networks from security intrusions. This structure is formed by a combination of several modules for monitoring system-utilization parameters, data processing,  Read more...
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Genre/Form: Academic theses
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Madhulika Trivedi; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
OCLC Number: 924649650
Description: 1 online resource (xi, 84 pages) : illustrations, color charts
Details: Mode of access: Internet via the World Wide Web.; System requirements: Internet connectivity; World Wide Web browser software; Adobe Acrobat Reader.
Responsibility: by Madhulika Trivedi.
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Abstract:

Supervisory control and data acquisition systems are extensively used in the critical infrastructure domain for controlling and managing large-scale industrial applications. This thesis presents a security management structure developed to protect ICS networks from security intrusions. This structure is formed by a combination of several modules for monitoring system-utilization parameters, data processing, detection of known attacks, forensic analysis to support against unknown attacks, estimation of control system-specific variables, and launch of appropriate protection methods. The best protection method to launch in case of an attack is chosen by a multi-criteria analysis controller based on operational costs and efficiency. A time-series ARIMA model is utilized to estimate the future state of the system and to protect it against cyber intrusions. Signature and performance based detection techniques assist in real-time identification of attacks with little or no human intervention. Simulation results for Scanning, Denial of Service and Injection attacks are provided.

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